CODEWITHSUNDEEP
rdownloadwidgetshiny
Nick Knauer
Nick Knauer

Reputation: 4243

Download Handler on RenderTable() dataframe in Shiny

I have a shiny app that takes a csv file that looks like this: 

category
action

and inputs it into the dataframe to filter the category with only "action".

Reproducible APP:

UI: 

library(shiny)
shinyUI(fluidPage(
  titlePanel("Actor Finder"),
  sidebarLayout(
    sidebarPanel(
      fileInput("file","Upload Category List: Must have category as header"),
      selectInput("file4", "Select Type", c("A" = "A",
                                               "B" = "B",
                                               "C" = "C"), selected = "A"),
      numericInput("file5", "Choose cost", 1000000000),
      tags$hr()),    
    mainPanel(
      uiOutput("tb")
    )

  )
))

Server: 

library(shiny)
library(readr)
library(dplyr)
# use the below options code if you wish to increase the file input limit, in this example file input limit is increased from 5MB to 9MB
# options(shiny.maxRequestSize = 9*1024^2)

actor <- c('Matt Damon','George Clooney','Brad Pitt', 'Clive Owen', 'Morgan Freeman', 'Edward Norton', 'Adrian Granier')
category<-c('action', 'action', 'noir', 'action', 'thriller', 'noir', 'action')
movie <- c('Oceans Eleven', 'Oceans Twelve', 'Fight Club', 'Children of Men', 'The Shawshank Redemption', 'American History X', 'Entourage')
movies <- c(21, 23, 26, 12, 90, 14, 1)
cost <- c(210000, 2300000, 260000, 120000, 90000, 140000, 10000)
Type <- c('A','B','C', 'A', 'B', 'C', 'A')

moviedata<-data.frame(actor, category, movie, movies, cost, Type)

# This reactive function will take the inputs from UI.R and use them for read.table() to read the data from the file. It returns the dataset in the form of a dataframe.
# file$datapath -> gives the path of the file

shinyServer(function(input,output){
data <- reactive({
  file1 <- input$file
  if(is.null(file1)){return()} 
  read_csv(file=file1$datapath)

})


# this reactive output contains the summary of the dataset and display the summary in table format

# this reactive output contains the summary of the dataset and display the summary in table format
output$sum <- renderTable({
  if(is.null(data())){return ()}
  test<-subset(moviedata, category %in% data())
  test1<-filter(test, `Type`==input$file4)
  test1$`BUDGET`<-input$file5
  test1$CHECKING<-ifelse(test1$`BUDGET`>test1$cost,"YES", "NO")
  filter(test1, CHECKING=="YES")
})

 # the following renderUI is used to dynamically generate the tabsets when the file is loaded. Until the file is loaded, app will not show the tabset.
output$tb <- renderUI({
  if(is.null(data()))
    h5("Powered by", tags$img(src='optimatic.png'))
  else
    tabsetPanel(tabPanel("Summary", tableOutput("sum")))
})

} 
)

I want to be able to do the following:

The output looks like this:

enter image description here

1) Add a download button to the renderTable dataframe. So let's say I change the filters for the new output in the UI, then I want to be able to download that new output.

2) Change the format of the dataframe to a dataTable from the DT package.

Any help would be great, thanks!

Upvotes: 2

Views: 2528

Answers (1)

HubertL
HubertL

Reputation: 19544

It's very easy to use DT:

1 - load the package:

library(DT)

2- render your table by replacing renderTable with renderDataTable (specifying exptension argument to include download button):

output$sum <- renderTable({...}, 
  extensions = c('Buttons'), 
  options = list(
    dom = 'Bfrtip',
    buttons = c('copy', 'csv', 'excel', 'pdf', 'print')
  ))

3- output the result using dataTableOutput instead of tableOutput in the renderUI:

tabsetPanel(tabPanel("Summary", dataTableOutput("sum")))

Upvotes: 3

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